Model Predictive Control for SPMSM Control System with Parameter Robustness Improvement

Model predictive current control (MPCC) is a control method based on a parametric model. By using this method, the surface-mounted permanent magnet synchronous motor (SPMSM) can operate at high efficiency by predicting its working current at a future time and performing the appropriate control operation according to the predicted current value. However, the control performance of the traditional MPCC approach is greatly affected by the parameters of the prediction model. This article proposes a newly-designed robust MPCC strategy in an effort to improve the robustness of the traditional MPCC approach. An inductance mismatch is a leading cause of d-axis current errors, thus an inductance calculation link based on the current difference of the d-axis is designed to extract accurate inductance information. In addition, a flux linkage calculation link is designed in this article and the value of the flux linkage can be determined by this link. Through simulation and experimentation, the effectiveness of the newly-designed control strategy is tested under a variety of working conditions.